conftrace_
← Topics

Mathematics & Optimization

16,944 papers (0 classified directly here)

Subtopics

Optimization (12,959) Mathematics (5,735) Probability (519) Statistics (265) Discrete Mathematics (15)

Papers per year

1
23
162
566
1706
801
'00
'05
'10
'15
'20
'25

Papers (including subtopics)

Cooperative Inverse Decision Theory for Uncertain Preferences AISTATS 2023
Stochastic Mirror Descent for Large-Scale Sparse Recovery AISTATS 2023
High Probability Bounds for Stochastic Continuous Submodular Maximization AISTATS 2023
Average Adjusted Association: Efficient Estimation with High Dimensional Confounders AISTATS 2023
Reinforcement Learning for Adaptive Mesh Refinement AISTATS 2023
Delayed Feedback in Generalised Linear Bandits Revisited AISTATS 2023
Minimax Nonparametric Two-Sample Test under Adversarial Losses AISTATS 2023
Dimensionality Collapse: Optimal Measurement Selection for Low-Error Infinite-Horizon Forecasting AISTATS 2023
Nonstationary Bandit Learning via Predictive Sampling AISTATS 2023
Discrete Langevin Samplers via Wasserstein Gradient Flow AISTATS 2023
Structure of Nonlinear Node Embeddings in Stochastic Block Models AISTATS 2023
Optimal Sample Complexity Bounds for Non-convex Optimization under Kurdyka-Lojasiewicz Condition AISTATS 2023
Convex Bounds on the Softmax Function with Applications to Robustness Verification AISTATS 2023
Two-Sample Tests for Inhomogeneous Random Graphs in $L_r$ Norm: Optimality and Asymptotics AISTATS 2023
Bayesian Optimization over High-Dimensional Combinatorial Spaces via Dictionary-based Embeddings AISTATS 2023
SMCP3: Sequential Monte Carlo with Probabilistic Program Proposals AISTATS 2023
On the Accelerated Noise-Tolerant Power Method AISTATS 2023
Faster Projection-Free Augmented Lagrangian Methods via Weak Proximal Oracle AISTATS 2023
Combining Graphical and Algebraic Approaches for Parameter Identification in Latent Variable Structural Equation Models AISTATS 2023
Efficient Informed Proposals for Discrete Distributions via Newton’s Series Approximation AISTATS 2023
An Homogeneous Unbalanced Regularized Optimal Transport Model with Applications to Optimal Transport with Boundary AISTATS 2023
Prediction-Oriented Bayesian Active Learning AISTATS 2023
Active Exploration via Experiment Design in Markov Chains AISTATS 2023
Multi-Fidelity Bayesian Optimization with Unreliable Information Sources AISTATS 2023
Randomized Greedy Learning for Non-monotone Stochastic Submodular Maximization Under Full-bandit Feedback AISTATS 2023